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2003
Conference Paper
Titel
New concept for joint disparity estimation and segmentation for real-time video processing
Abstract
We present a new concept of joint disparity estimation and segmentation developed for a real-time immersive video conferencing system, which uses segmentation and disparity estimation results to calculate a new virtual view of a conferee. For the segmentation background subtraction is used which works well under limited conditions. The main goal of the new concept is to allow more general scenarios and to improve the disparities at depth discontinuities. The goal is reached with a twostage disparity estimation which is nearly a hierarchical approach. The main advantage of the two-stage calculation is that segmentation can be performed in between these two steps and can use depth information to decide on foreground or background and the second step of disparity estimation can use segmentation information to speed up the algorithm.